Title :
SQLSAM: SQL for statistical analysis and modeling
Author :
Choobineh, Joobin ; Kini, Anil
Author_Institution :
Dept. of Bus. Anal. & Res., Texas A&M Univ., College Station, TX, USA
Abstract :
Statistical modeling and analysis is extensively used in businesses for various purposes including graphic visualization of data, measurement of central tendencies and other statistics, and inferences on populations based on samples. Data is the fundamental component of each of these activities. In this paper an extension of the standard database language SQL for statistical modeling and analysis is presented. Models covered include descriptive analytic and graphic measures, discrete probability distributions, continuous probability distributions, inferential statistics, and regression analysis. Through the use of SQLSAM, seamless integration of existing data in organizations´ databases and their statistical analysis can be achieved
Keywords :
business data processing; data visualisation; decision support systems; probability; query languages; statistical analysis; statistical databases; SQL; SQLSAM; business; business decision making; continuous probability distributions; discrete probability distributions; graphic visualization; inferences; inferential statistics; organization databases; regression analysis; standard database language; statistical analysis; statistical modeling; statistics; Database languages; Decision making; Demand forecasting; Graphics; Mathematical programming; Probability distribution; Production; Relational databases; Statistical analysis; Statistical distributions;
Conference_Titel :
System Sciences, 1995. Proceedings of the Twenty-Eighth Hawaii International Conference on
Conference_Location :
Wailea, HI
Print_ISBN :
0-8186-6930-6
DOI :
10.1109/HICSS.1995.375624